Paul Doan

Paul Doan has been working in the data science field since 2016. In 2017, they joined Sifoee as a Data Scientist and Business Development professional. In 2018, they began working at SITETUDES as a Business Engineer and Infrastructure Engineer Intern. In 2020, they joined Nephron Research as a Data Scientist and Token Metrics as a Data Science Manager. At Token Metrics, they managed the Data Department and drove $6 million in recurring revenue using AWS Sagemaker and Apache Airflow. Paul also implemented machine learning techniques for sentiment analysis, crypto price forecasting, trading strategies signals, portfolio optimization, churn classification, and user segmentation. Additionally, they theorized and built the TM Grade, an AI-based metric helping users to find profitable crypto investments.

Paul Doan completed a Master of Science in Operations Research from Columbia University from 2019 to 2020. Prior to that, they completed a Master of Science in Engineering from Ecole centrale de Lyon from 2016 to 2018.